TalentsToday

Rzeszów only!
Work from the office.

We are looking for a Strong Middle Automation/Manual QA Engineer to join a team developing a cloud-based enterprise integration platform (iPaaS). The product helps companies connect different systems and applications, automate workflows, and build API integrations using low-code tools, connectors, and distributed cloud services.
 

This is an on-site involvement, ability to visit office in Rzeszów is required.
 

Responsibilities:

• Develop and maintain automated tests
• Perform UI, API, integration, regression, and end-to-end testing
• Test integration of the connectors and connection flows
• Validate connector configurations, communication flows, and enterprise integration scenarios
• Test REST/SOAP APIs and back-end services
• Validate FE/BE interactions and API behavior
• Analyze logs, network traffic, and test failures
• Create and maintain test documentation
• Work closely with Software Engineers, DevOps Engineers, and Product teams
• Support CI/CD test execution
• Participate in release and regression testing
• Contribute to automation framework improvements
• Participate in performance and load testing activities
   

Requirements:

• Ability to visit office in Rzeszów
• 3+ years of Automation/Manual QA experience
• Experience upgrading or maintaining automation frameworks
• Experience with Java or Cypress or Playwright
• Experience with API testing tools (Postman, SoapUI)
• Strong understanding of FE/BE interaction and client-server architecture
• Experience working with relational databases and SQL knowledge
• Basic Linux terminal skills
• Integration testing experience
• Experience using Browser Dev Tools for debugging
• Experience writing test documentation
• Git experience
• English level – Upper-Intermediate or higher
   

Will be a plus:

• Experience with CI/CD pipelines (a strong advantage)
• Good level of understanding of HTTPS and REST fundamentals
• Experience with SOAP
• Docker experience
• JMeter or k6 experience
• XPath/XQuery knowledge
• Experience with GitHub Copilot
• Experience with cloud- or microservice-based systems
   

Our Customer offer:

• They provide all equipment
• Comfortable and fully equipped office in Rzeszów
• Competitive compensation with regular performance reviews
• Referral Bonus Program
• 18 paid vacation days per year
• 12 days of paid sick leave per year
• Extra paid leave (blood donation, marriage, childbirth, etc.)
• Fixed monthly health & wellness compensation, applicable to: medical insurance; fitness and sports activities
• Mental Health Program – company-covered psychologist consultations, with an annual coverage limit
• English, German, and Polish language courses and Speaking Clubs
• Corporate merch gifts for your special dates
• Corporate subscription to learning platforms, regular meetups and webinars
• Friendly team that values accountability, innovation, teamwork, and customer satisfaction
• Maternity leave
• Inclusive environment where everyone feels valued and treated equally. We proudly partner with VeteranHub to support Ukrainian veterans
• They are committed to supporting Ukraine and actively participate in charity initiatives

Backend Software Engineer (Python, AI)
 

Requirements:
- 6+ years of experience in backend design and development of production-grade applications.
- Strong experience with Python
- Solid experience with databases, preferably SQL
- Experience working with large-scale systems
- Experience with AI orchestration frameworks such as LangChain or LlamaIndex, or experience integrating third-party AI APIs such as OpenAI or Anthropic.
- Knowledge of networking infrastructure.
- Cybersecurity experience - a strong advantage.
- Ability to learn quickly and adapt to new technologies.
- Strong teamwork and collaboration skills.
 

Responsibilities:
- Take full ownership of features, from product design through deployment, including end-to-end feature architecture.
- Plan, design, and develop systems with complex performance and scalability requirements.
- Design, maintain, and contribute to the company’s code infrastructure.
- Design, build, and maintain robust, scalable server-side architecture.
- Integrate with Large Language Models (LLMs) and vector

PROJECT DESCRIPTION

Design cloud-native, resilient and scalable solutions in partnership with Architecture, Development, DevOps, and Cyber teams, implementing application security principles and culture while providing subject matter expertise on cloud services and leading engineering teams in building secure systems through best engineering practices in an Agile environment.

IN THIS ROLE, YOU WILL

• Design Azure-hosted solutions that meet business & technical requirements
• Create highly-available scalable, reliable and secure cloud environments, ensuring optimal performance
• Acts as the Azure Cloud Champion for the App Development and DevOps teams
• Ensure compliance with industry standards and firm policies
• Works with the application architects, DevSecOps and Cyber Team, to review security questionnaires
• Advocates for the Architecture, Development, DevOps, Cybersecurity, DevSecOps, and Agile engineering procedures, quality engineering practices and advanced requirement capturing techniques for improving end-to-end delivery practices
• Provide guidance to DevOps & development teams to ensure smooth integration of cloud solutions
• Organizes and coordinates infrastructure architecture reviews as needed
• Mentor and provide technical guidance to junior team members
• Liaise with vendors and cloud providers to ensure proper delivery of services
• Monitor cloud systems and ensure they meet performance benchmarks and security requirements
• Optimize cloud resources and cost through automation and monitoring
• Implement disaster recovery strategy, ensure high availability of cloud resources
• Maintain up-to-date technical documentation
• Report on cloud service performance and costs trends
  
  
  IF YOU HAVE
• Bachelor's or Master's degree in Computer Science, Information Technology or a related field
• 5+ years of experience in designing, developing & deploying cloud architecture
• Expertise in Azure Cloud platform including PaaS offerings like AKS, Azure SQL, APIM, Azure Service Bus etc
• Experience with cloud-native technologies such as containers (Docker, Kubernetes) and microservices architecture
• Strong knowledge of networking, security, and database management in cloud environment
• Knowledge of Source Code Management concepts (e.g., code lines, branching, merging, integration, versioning)
• Experience producing PoCs (Proof of Concept) to support the development and DevOps teams
• Ability to translate traditional SDLC approach (plan, code, build, test, release, deploy and monitor) to the phases of agile development when writing software to automate cloud architecture related tasks
  
  HOW’S THE HIRING PROCESS GOING
• We strive to make a smooth and transparent hiring process to find the perfect match for both sides. Steps may differ depending on the position — here’s what to expect:
• Initial Interview: If your background fits the role, we'll invite you for an interview with a Talent Acquisition Specialist.
• Technical Interview: Depending on the position, you may complete a technical assessment or test task.
• Client’s Interview:
• Final Decision: After all steps, we'll get back to you with the result and next steps.

We’re looking for an experienced Infrastructure Engineer to work on a project of our Customers. They are building a multi-node GPU platform for large-scale model training and inference using managed GPU providers. In this role, you’ll have to own the platform performance, reliability, and the technical relationship with the Client’s providers.

Our Customers provide SaaS solutions that help companies to optimize their business. These solutions include business planning to automate and optimize business, delivery, and workflow solutions. The platform leverages industry-leading Artificial Intelligence (AI) and Machine Learning (ML) for better prediction and prevention of disruptions across business.

Candidate’s location – Europe.

Responsibilities:

• Design and operate distributed GPU training infrastructure
• Validate cluster topology, RDMA/InfiniBand, and NCCL performance
• Standardize Kubernetes or Slurm scheduling, GPU images, and software versions
• Diagnose issues across training workloads, networking, storage, and GPU hosts
• Build monitoring, benchmarks, runbooks, and reliability standards
• Work with GPU providers to resolve incidents and define technical requirements

• Support SFT, DPO, RL, and large-scale inference workloads

   

Requirements:

• Location in Europe
• Production experience with multi-node GPU training infrastructure
• Strong Linux, containers, CUDA, and NVIDIA-GPU-stack knowledge
• Hands-on experience with NCCL and InfiniBand or RoCE/RDMA troubleshooting
• Deep experience with Kubernetes or Slurm
• Infrastructure automation and observability experience
• Strong skills in incident leadership and provider-facing communication
• English level – Upper-Intermediate or higher

Will be a plus:

• Experience in an AI lab, HPC environment, or specialist GPU cloud
• Knowledge of distributed-training frameworks such as PyTorch, Megatron, or DeepSpeed
• Experience with parallel storage, checkpoint optimization, and multi-provider platforms